Lee Sheldon
Impact in
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- Educational Games and Gamification
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- Teaching and Learning Programming
- Online Learning and Analytics
Papers in
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- Heart Failure Treatment and Management 6
- Cardiovascular Function and Risk Factors 5
- Cardiac pacing and defibrillation studies 2
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- Machine Learning in Healthcare 2
- Artificial Intelligence in Games 1
- Co-authors
- Nancy F. Chen (1 shared paper)Zhengyuan Liu (1 shared paper)Ai Ti Aw (1 shared paper)Michael R. MacDonald (3 shared papers)Mei Si (1 shared paper)Kui Toh Gerard Leong (3 shared papers)Wai Leng Chow (3 shared papers)Mark Richards (3 shared papers)
- Journals
- The American Journal of Cardiology (2 papers)Cardiovascular Ultrasound (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Nonlinear Analysis (1 paper)Journal of Telemedicine and Telecare (1 paper)
- Partner nations
- SingaporeUnited StatesNetherlands
In The Last Decade
Lee Sheldon
16 papers receiving 322 citations
Peers
Comparison fields: 5 of 72
- Developmental and Educational Psychology 171
- Computer Science Applications 65
- Human-Computer Interaction 22
- Education 78
- Artificial Intelligence 77
Countries citing papers authored by Lee Sheldon
This map shows the geographic impact of Lee Sheldon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lee Sheldon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Sheldon more than expected).
Fields of papers citing papers by Lee Sheldon
This network shows the impact of papers produced by Lee Sheldon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lee Sheldon. The network helps show where Lee Sheldon may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Sheldon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Multiplayer Classroom: Designing Coursework as a Game | 2011 | 168 |
| 2 | 2019 | 58 | |
| 3 | 2017 | 23 | |
| 4 | 2020 | 22 | |
| 5 | 2012 | 21 | |
| 6 | 2019 | 14 | |
| 7 | 2022 | 13 | |
| 8 | Character Development and Storytelling for Games (Game Development Series) | 2004 | 12 |
| 9 | 2020 | 12 | |
| 10 | 2016 | 8 | |
| 11 | A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure. | 2020 | 3 |
| 12 | 2001 | 2 | |
| 13 | 2021 | 2 | |
| 14 | Statistics - High school | 2020 | 2 |
| 15 | ilovebees: playing and designing in real-time | 2010 | 1 |
| 16 | 2025 | 1 | |
| 17 | 2018 | 0 | |
| 18 | 2025 | 0 | |
| 19 | Mathematical Modeling and Simulation with MATLAB | 2021 | 0 |
About Lee Sheldon
Lee Sheldon is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Sociology and Political Science, Health Information Management and Control and Systems Engineering, having authored 19 papers that have together received 362 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (6 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac pacing and defibrillation studies (2 papers), Machine Learning in Healthcare (2 papers), Digital Games and Media (2 papers), Multimodal Machine Learning Applications (1 paper), Artificial Intelligence in Healthcare (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Developmental and Educational Psychology (171 citations), Computer Science Applications (65 citations), Human-Computer Interaction (22 citations), Education (78 citations) and Artificial Intelligence (77 citations). Lee Sheldon has collaborated with scholars based in Singapore, United States and Netherlands. Frequent co-authors include Nancy F. Chen, Zhengyuan Liu, Ai Ti Aw, Michael R. MacDonald, Mei Si, Kui Toh Gerard Leong, Wai Leng Chow, Mark Richards, Lai Yin Wong and Sanjay Doddamani. Their work appears in journals such as The American Journal of Cardiology, Cardiovascular Ultrasound, IEEE Journal of Biomedical and Health Informatics, Nonlinear Analysis and Journal of Telemedicine and Telecare.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.